This is a geocoding service server based on the Model Context Protocol (MCP), providing geocoding functions by integrating the Nominatim API.
2 points
9.6K

What is the Geocoding MCP Server?

The Geocoding MCP Server is a tool that provides geocoding services through the Model Context Protocol (MCP). It can convert addresses into geographical coordinates (such as latitude and longitude) via the Nominatim API and supports reverse geocoding (converting coordinates into addresses).

How to use the Geocoding MCP Server?

This server can be called through an MCP client (such as Claude Desktop). Simply add the server information according to the configuration instructions, and you can directly use the geocoding function in an environment that supports MCP.

Applicable Scenarios

Suitable for application scenarios that require geographical location queries, such as map services, location analysis, logistics planning, etc. It is particularly suitable for use in combination with AI assistants that support the MCP protocol (such as Claude Desktop) to enhance users' geographical information processing capabilities.

Main Features

Geocoding
Convert addresses into latitude and longitude for positioning and spatial analysis.
Reverse Geocoding
Convert latitude and longitude into specific address information to facilitate users' understanding of locations.
Compatible with MCP Protocol
Can be seamlessly integrated into AI assistants that support the Model Context Protocol (such as Claude Desktop).
Open Source and Scalable
The source code is open under the MIT license, supporting custom extensions and secondary development.
Advantages
Provides accurate geocoding services and supports multiple address formats.
Compatible with mainstream AI assistants (such as Claude Desktop) for easy integration.
An open - source project with good community support and technical documentation.
Easy to deploy and use without complex configuration.
Limitations
Relies on the Nominatim API and may be subject to API access restrictions or rate limits.
Only supports basic geocoding functions and does not include advanced spatial analysis capabilities.
May not be accurate enough for very complex address parsing.

How to Use

Install Node.js
Ensure that your system has Node.js version 18.0.0 or higher installed.
Install the MCP Server
Install the Geocoding MCP Server package via npm.
Configure the MCP Client
Add the server configuration in an MCP - supported client (such as Claude Desktop).
Use the Geocoding Service
Enter an address or coordinates in the MCP client to obtain geographical information.

Usage Examples

Find the Latitude and Longitude of Beijing
A user wants to know the exact geographical location of Beijing for use in a map application.
Find Street Information Based on Coordinates
A user has a set of latitude and longitude and wants to confirm the corresponding address information.

Frequently Asked Questions

Does the Geocoding MCP Server require an internet connection?
How to solve the problem of inaccurate geocoding results?
Can it be used in an environment without Node.js?
Does it support Chinese addresses?

Related Resources

GitHub Repository
The source code and documentation of the Geocoding MCP Server.
Nominatim Official Documentation
Instructions and development guides for using the Nominatim API.
Introduction to the MCP Protocol
Basic concepts and usage methods of the Model Context Protocol (MCP).
Claude Desktop MCP Configuration Guide
How to configure the MCP Server in Claude Desktop.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "geocoding": {
      "command": "npx",
      "args": [
        "-y",
        "@geocoding-ai/mcp"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.8K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
11.5K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
17.3K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
9.9K
4 points
P
Paperbanana
Python
11.0K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
12.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
11.8K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
86.5K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
29.4K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
41.8K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
26.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
39.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
76.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
26.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
113.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase